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iFexx launches algorithmic investment programme for auto forex trading

Forex signals provider iFexx has launched an algorithmic investment programme (AIP) for auto forex trading.

It aims to help small investors implement a high-frequency trading strategy on their Forex account.
 
HFT, or high-frequency trading, is a special class of algorithmic trading, which is used by investment banks and institutional traders, recording high profits in different market conditions.
 
HFT allocates total portfolio risk into small orders in a diversified basket, in order to hedge risk and market impact. The technology is capable of analysing multiple strategies on a variety of charts and executing pre-programmed orders simultaneously.
 
“Small traders and investors have been at a severe disadvantage over the past several years due to the increase in high-frequency trading. Market dynamics have changed dramatically through chaos caused by these systems,” says Ben Venier, chief market analyst at iFexx.
 
“HFT is the power to distinguish volatility and making expeditious decisions before others, this is the theory behind automated trading models. Automated forex trading has become extremely popular since mirror and social trading has been introduced, yet they are unable to present genuine and consistent results due to massive membership turnover.”
 
AIP is a new concept designed and delivered by iFexx, to simplify trading for investors at any level. It enables traders to access one of the most advanced automated trading models in the Forex industry, a tool for Forex accounts to receive and execute auto generated algorithmic Forex Signals via Trade Copier in coordination with Black-Box system. The system is equipped with risk management tools for conservative, moderate and aggressive money management styles.
 
The company offers access to the technology through monthly and yearly subscriptions. Twelve months Forex Virtual Private Server (VPS) with windows Server 2012 is included to the yearly package for 24 hours trading without interruptions.

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